GIS-Based Suitability Model for Assessment of Forest Biomass Energy Potential in a Region of Portugal

Quinta-Nova, L.C.; Fernandez, Paulo; Pedro, N.

doi:10.1088/1755-1315/95/4/042059

Cited by 11 publications

(10 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is not for lack of information (satellite images and geo-referenced data) that the forest accumulates in the forests, but it is for the lack of policies to enhance biomass value as a raw material. It is worthwhile mentioning that there are no barriers related to GIS utilization in shrub biomass location and calculation tasks, as evidenced by the numerous articles written on the subject, e.g., [34][35][36][37][38][39][40]. The major constraints to the shrubs' biomass use after GIS calculation are related to the costs of cutting, removing, and transporting biomass from the forest areas to the places of use.…”

Section: Allometric Model For Shrub Biomass Estimationmentioning

confidence: 99%

Large Scale Shrub Biomass Estimates for Multiple Purposes

Enes

Lousada

Fonseca

et al. 2020

Life

View full text Add to dashboard Cite

With the increase of forest fires in Portugal in recent decades, a significant part of woodlands is being converted into shrubland areas. Background: From an ecological point of view, woodlands and shrublands play an essential role, as they not only prevent soil erosion and desertification, but also contribute to soil protection, habitat preservation and restoration, and also increased biodiversity for carbon sequestration. Concerning the shrublands, the assessment of their biomass is essential for evaluating the fuel load and forest fire behavior and also beneficial for obtaining estimates of carbon and biomass for energy use. Methods: In this study, we collected data about the potential shrub biomass accumulation along fifteen years in former burnt areas within North Portugal. Results: The achieved results showed that for a post-fire period ranging from one to 15 years, the accumulated shrubs’ biomass ranged from 0.12 up to 28.88 Mg ha−1. The model developed to estimate the shrub biomass using the time after a fire (age) as a predictor variable presented a high adjustment to data (p-value of the F statistic <0.01 and R2 = 0.89), allowing estimating shrub biomass regeneration within former burnt areas with an RMSE of 3.31 Mg ha−1. Conclusions: This paper provides practical information on the availability and assessment of shrub biomass in North Portugal, highlighting the suitability of shrubs as potential sources of biomass.

show abstract

Section: Allometric Model For Shrub Biomass Estimationmentioning

confidence: 99%

Large Scale Shrub Biomass Estimates for Multiple Purposes

Enes

Lousada

Fonseca

et al. 2020

Life

View full text Add to dashboard Cite

show abstract

“…Many assessments of the biomass and energy potentials of forest [4,[7][8][9][10], chicken manure [11][12][13][14][15] and overall organic residues [2,[16][17][18][19] can be found in the literature, considering different boundaries (local, regional, national or worldwide levels) and different plant scales (small, medium and large). For forest and manure biomasses, the assessment of the energy potential starts with the assessment of the biomass potential.…”

Section: Official Administrative Map Of Portugal With the Location Ofmentioning

confidence: 99%

“…After defining the Lafões region area (Figure 1), which was obtained from the official administrative map of Portugal [1], all areas with land uses other than forest were eliminated from the land use cover map [25] of the region. When mapping the forest area, land use conflicts with nature conservation areas must be considered [7,18], which can be located in the geocatalogue of the nature and forest conservation institute (ICNF) [26].…”

Section: Selection Of the Forest Speciesmentioning

confidence: 99%

Case Study: Pathways from Forest to Energy in a Circular Economy at Lafões

d’Espiney¹,

Marques²,

Pinheiro³

2021

Forest Biomass - From Trees to Energy

View full text Add to dashboard Cite

The present case study deals with new pathways in demand for forest residues disposal in the Lafões region (Portugal), since this biomass is presently regarded as a residue and eliminated through open air burning. Different biomass-to-energy conversion systems have a high sustainability value and, thus, the energy potential of the biomass supplied by the forest of Lafões was assessed, using GIS-based methods and assumptions from the literature. The Lafões region produces large amounts of chicken manure from which energy can be recovered through anaerobic digestion. The energy potential held by the effluent of the several classes of the poultry industry of Lafões was assessed, using IPCC 2006 guidelines to estimate their biomass and methane production potential. Furthermore, integrated solutions were pursued. The present challenge is to explore complementarities between effluents for anaerobic digestion to achieve improved energy and waste management system performances. The complementarity between the residues from maritime pine forest management and from broiler production was assessed through bench-scale anaerobic co-digestion assays, leading to increased methane production when compared to those achieved with single substrate anaerobic digestion. This result highlights the interest of further research concerning complementarities between other effluents in the Lafões region.

show abstract

“…The data is then arranged into thematic layers represented by digital maps (Chalkias & Lasaridi, 2009). Quinta-Nova et al 2017applaud GIS's embedded capability to provide a Multi Criteria Decision Analysis (MCDA) support based on spatial criteria (Quinta-Nova et al, 2017). In this case, a set of environmental, economic and social criteria is defined, ranked and weighted, either using some logic system or the Analytic Hierarchy Process.…”

Section: Gis and Its Functionalities In The Context Of Sw And Biomassmentioning

confidence: 99%

“…In this case, a set of environmental, economic and social criteria is defined, ranked and weighted, either using some logic system or the Analytic Hierarchy Process. (Quinta-Nova et al, 2017) The GIS can then select optimal sites for conversion or landfill sites using the ranked suitability criteria. For both biomass and SW management, objectives usually include minimizing distance, cost of transporting waste or biomass and GHG emissions, while other site related criteria like topography and legal requirements would also need to be factored in (Chalkias & Lasaridi, 2011;Eason & Cremaschi, 2014;You, Graziano, & Snyder, 2012).…”

Section: Gis and Its Functionalities In The Context Of Sw And Biomassmentioning

confidence: 99%

A Review of the Application of Gis in Biomass and Solid Waste Supply Chain Optimization: Gaps and Opportunities for Developing Nations

2019

View full text Add to dashboard Cite

The application of Geographical Information Systems (GIS) enhanced modelling techniques in biomass and solid waste supply chain problems is hinged on a common denominator for both systems: the spatial distribution of supply points and variability of resource quantities. Since the sustainability of bioenergy or waste-to-energy projects around these resources will be affected significantly by the cost of supplying them, it is important to optimize decisions around facility location, size and transport routes. GIS is an important tool that can be used to capture the spatial and temporal dynamics of the biomass and waste. It can then be used alone or integrated with other software tools, for strategic and tactical level optimization of biomass and solid waste supply chains. In as much as a lot of progress has been made globally in research and application of GIS enhanced modelling techniques in biomass and solid waste supply chains, developing nations have trailed behind. This explains why spatial and temporal waste or biomass statistics are not readily available in these areas. This paper reviews recent developments in the application of GIS in biomass and solid waste supply chain models, with the ultimate objective of identifying the gaps and opportunities that exist. It is especially biased towards the use of the biomass and waste in renewable or waste to energy schemes-a fast growing field within the green economy.

show abstract

GIS-Based Suitability Model for Assessment of Forest Biomass Energy Potential in a Region of Portugal

Cited by 11 publications

References 11 publications

Large Scale Shrub Biomass Estimates for Multiple Purposes

Large Scale Shrub Biomass Estimates for Multiple Purposes

Case Study: Pathways from Forest to Energy in a Circular Economy at Lafões

A Review of the Application of Gis in Biomass and Solid Waste Supply Chain Optimization: Gaps and Opportunities for Developing Nations

Contact Info

Product

Resources

About